Course Description
Basic concepts of data collection, sampling, and experimental design. Descriptive analysis and graphical displays of data. Probability concepts, and expectations. Normal and binomial distributions. Sampling distributions and the Central Limit Theorem. Confidence intervals and hypothesis testing. Tests for means/proportions of two independent groups. One factor analysis of variance. Understanding relationships among variables; correlation and simple linear regression. Computer use is emphasized.
FALL 2019
Instructors
Classes Start:
August 21, 2019
Classes End:
December 6, 2019
Location:
00325 Riddick Hall
Class Days:
TH
Class Start Time:
3:00pm
Class End Time:
4:50pm
Class Type:
Lecture
Credits:
4.00
Delivery Method:
In Person
Restrictions:
Prerequisite: MA 141; Corequisite: ST 307
